/********************************************************************************************************
*																										*
*					IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.					*
*																										*
*		By downloading, copying, installing or using the software you agree to this license.			*
*		If you do not agree to this license, do not download, install, copy or use the software.		*
*																										*
*									License Agreement													*
*                			For Vision Open Statistical Models											*
*																										*
* Copyright (C):	2006~2011 by JIA Pei, all rights reserved.											*
*																										*
*    				VOSM is free software under the terms of the GNU Lesser General Public License		*
*					(GNU LGPL) as published by the Free Software Foundation; either version 3.0 of the	*
*					License, or (at your option) any later version.	You can use it, modify it, 			*
* 					redistribute it, etc; and redistribution and use in source and binary forms,		*
*					with or without	modification, are permitted	provided that the following conditions 	*
*					are met: 																			*
*																										*
*					a) Redistribution's of source code must retain this whole paragraph of copyright	*
*					notice, including this list of conditions and all the following contents in this 	*
*					copyright paragraph.																*
*																										*
* 					b) Redistribution's in binary form must reproduce this whole paragraph of copyright *
*					notice, including this list of conditions and all the following contents in this	*
*					copyright paragraph, and/or other materials provided with the distribution.			*
*																										*
*					c) The name of the copyright holders may not be used to endorse or promote products *
*					derived from this software without specific prior written permission.				*
*																										*
* 					Any publications based on this code must cite the following five papers, technic	*
*					reports and on-line materials.														*
*					1) P. JIA, 2D Statistical Models, Technical Report of Vision Open Working Group,	*
*					2st Edition, October 21, 2010. 														*
*					http://www.visionopen.com/members/jiapei/publications/pei_sm2dreport2010.pdf		*
* 					2) P. JIA. Audio-visual based HMI for an Intelligent Wheelchair. PhD thesis,		*
* 					University of Essex, February, 2011.												*
* 					http://www.visionopen.com/members/jiapei/publications/pei_phdthesis2010.pdf			*
*					3) T. Cootes and C. Taylor. Statistical models of appearance for computer vision.	*
*					Technical report, Imaging Science and Biomedical Engineering, University of 		*
*					Manchester, March 8, 2004.															*
*					http://www.isbe.man.ac.uk/~bim/Models/app_models.pdf								*
*					4) I. Matthews and S. Baker. Active appearance models revisited. International 		*
*					Journal of Computer Vision, 60(2):135–164, November 2004.							*
*					http://www.ri.cmu.edu/pub_files/pub4/matthews_iain_2004_2/matthews_iain_2004_2.pdf	*
*					5) M. B. Stegmann, Active Appearance Models: Theory, Extensions and Cases,			*
*					http://www2.imm.dtu.dk/~aam/main/, 2000												*
* 																										*
* Version:          0.3.2                                                     							*
* Author:           JIA Pei                                                 							*
* Contact:          jp4work@gmail.com                                       							*
* URL:              http://www.visionopen.com                               							*
* Create Date:      2010-11-04                                             								*
* Revise Date:      2010-08-04                                             								*
********************************************************************************************************/

#ifndef __VO_BOOSTINGCASCADECLASSIFIER_H__
#define __VO_BOOSTINGCASCADECLASSIFIER_H__

#include <string>
#include <iostream>

#include "opencv/cv.h"
#include "opencv/highgui.h"

#include "../featureextraction/VO_Features.h"
#include "VO_AdditiveStrongerClassifier.h"

#include "VO_BoostingSingleEnsembleClassifier.h"

using namespace std;
using namespace cv;



/** 
 * @author		JIA Pei
 * @brief		Boosting cascade classifier.
 * @note		FIXME
 */
class VO_BoostingCascadeClassifier : public VO_AdditiveStrongerClassifier
{
private:
	/** Number of stages */
	unsigned int				m_iNbOfStages;
	
	/** min true positive */
	float 						m_fMinTruePositive;
	
	/** max wrong classification */
	float 						m_fMaxWrongClassification;
	
	/** Used Features */
	/** Explained by JIA Pei. Abstract class can't be instantiated, so, use pointer */
	/** In addition, Dimashova, Maria's precious suggestion is "do not load all features once for all" 
	 * http://opencv.willowgarage.com/wiki/Contributors */
	VO_Features*				m_VOFeatures;
	
public:
	enum {UNDEFINED = 0, SINGLECASCADE = 1, PARALLELCASCADE = 2, CASCADEDECISIONTREE = 3, BFSCASCADE = 4};

	/** Constructor */
	explicit VO_BoostingCascadeClassifier();

	/** Destructor */
	~VO_BoostingCascadeClassifier();

	/** training the boosting cascade classifier */
    bool train( const string& _cascadeDirName,
                const vector<string> _posFilenames,
                const vector<string> _negFilenames,
                int _precalcValBufSize,
				int _precalcIdxBufSize,
                int _numStages,
				float _minTruePositive,
				float _maxWrongClassification,
                const VO_Features* _featureParams);
};

#endif

